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Industrial Automation, IoT, Software Development, Manufacturing Technology

ETL Data Engineer

New York, New York, United StatesOnsiteContractPosted 1 month agoVisa sponsorship available

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Senior Data Engineering professionals with strong experience across Data Engineering, SQL, ETL, Data Modeling, and BI, along with GCP exposure. This role requires both hands-on technical ownership and the ability to communicate effectively with business and technical stakeholders.

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Key Responsibilities

  • Design, develop, and maintain scalable, enterprise-grade data pipelines
  • Lead ETL architecture and implementation for complex datasets
  • Define and enforce data modeling best practices (fact/dimension, performance optimization)
  • Write and optimize advanced SQL for analytics and reporting
  • Build and support BI dashboards and semantic layers
  • Work with GCP data services (e.g., BigQuery, Cloud Storage, Dataflow)
  • Partner with PwC stakeholders to translate business requirements into technical data solutions
  • Mentor junior and mid-level team members
  • Contribute to architecture discussions, data standards, and governance

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Required Skills & Experience

  • 6–10+ years of experience in Data Engineering or Analytics Engineering
  • Expert-level SQL
  • Strong hands-on experience with ETL frameworks and orchestration
  • Advanced knowledge of data modeling for analytics and BI
  • Experience with BI tools and reporting platforms
  • Exposure to or hands-on experience with Google Cloud Platform (GCP)
  • Strong communication and stakeholder management skills
  • Ability to own solutions end-to-end in a client-facing environment
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